摘要
介绍了一种基于压缩感知(CS)理论的数据重构方法,适用于记录民航飞机运行参数的快速存取记录器(QAR);选择合适的稀疏变换基将转轴震动信号、垂直加速度信号等飞行数据稀疏表示后,通过测量矩阵实现信号有用信息的高效获取,并利用正交匹配追踪算法对QAR记录的压缩后数据进行重构;仿真结果表明,通过该方法完成飞行数据的压缩采样、传输和重构,重构信号与原始信号的相对误差小于3%,重构效果较好,不仅能够降低QAR的存储压力,提高数据的传输效率,而且使QAR数据应用于对采样率要求较高的研究项目成为可能。
A method of data reconstruction based on Compressive Sensing （CS） theory is introduced, suitable for civil aircraft airborne Quick Access Recorder （QAR）. Choose appropriate sparse transform base to represent vibration signal of shaft, vertical acceleration signal and other flight data sparsely, obtain useful information of signals by measurement matrix, and use orthogonal matching pursuit algorithm to reconstruct compressed data recorded by QAR. The simulation results show that perform compressed sampling, transmission and reconstruc- tion of flight data through this method has achieved good reconstruction results. The relative error of the reconstructed signal and the original signal is less than 3%. This method can not only reduce the storage pressure of QAR, improve the data transmission efficiency, but also make it possible that QAR data be used for research projects which request high sampling rate.
出处
《计算机测量与控制》
北大核心
2013年第5期1351-1353,共3页
Computer Measurement &Control
基金
国家重点基础研究发展规划项目(2010CB955401)
中央高校基金科研业务费项目(ZXH2012B001)
关键词
快速存取记录器
压缩感知
稀疏表示
测量矩阵
正交匹配追踪
quick access recorder （QAR）
compressive sensing （CS）
sparse representation
measurement matrix
orthogonal matching pursuit （OMP）
